Yield prediction has long been a valuable tool for farmers seeking to enhance crop
production. Among the many ways to predict yield, the integration of machine learning (ML) …

To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

The correct classification of requirements has become an essential task within software
engineering. This study shows a comparison among the text feature extraction techniques …

Yield estimation is an important factor in a production process planning. In the case of citrus
crops, can be useful in industrial management and as guidance for farmers, showing a …

Forecasting photovoltaic electricity generation is one of the key components to reducing the
impacts of solar power natural variability, nurturing the penetration of renewable energy …

Abstract Machine learning and computational intelligence are rapidly emerging in plant
breeding, allowing the exploration of big data concepts and predicting the importance of …

O desenvolvimento de técnicas de triagem virtual representa um dos maiores avanços na
atual era de planejamento de fármacos. A triagem virtual, através de inúmeras estratégias …

Background Communicable diseases represent a huge economic burden for healthcare
systems and for society. Sexually transmitted infections (STIs) are a concerning issue …

The phenomenon of protein aggregation has been associated with several
neurodegenerative diseases, such as Parkinson's and Alzheimer's. Computational tools …

No epicentro da revolução digital, a Inteligência Artificial (IA) emergiu como uma força
transformadora, definindo o rumo de muitas trajetórias. Com isso, a necessidade de …